Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Project Management, Communication, Stakeholder Communications, Machine Learning
★ 4.7 (4.1K) · Advanced · Course · 1 - 3 Months
Skills you'll gain: Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Programming, Data Cleansing, Data Manipulation, Data Structures, Interviewing Skills, NumPy, Google Gemini
★ 4.8 (13K) · Advanced · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Statistics, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Derivatives
★ 4.4 (802) · Advanced · Specialization · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Classification Algorithms, Data Preprocessing, Matplotlib, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Exploratory Data Analysis, Plot (Graphics), Pandas (Python Package), Data Presentation, Data Science, NumPy, Regression Analysis, Data Analysis, Data Structures, Data Transformation, Portfolio Management, Statistical Modeling, Predictive Analytics
★ 4.6 (24) · Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Tool Calling, Agentic systems, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, Responsible AI, Embeddings, Large Language Modeling, AI Integrations, Software Development
★ 4.6 (1.2K) · Advanced · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Responsible AI, Data Manipulation, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
★ 4.1 (654) · Advanced · Specialization · 3 - 6 Months
Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Analytics, Statistical Analysis, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Methods, Analytical Skills, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning
★ 4.8 (1.5K) · Advanced · Course · 1 - 4 Weeks
Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming
★ 4.8 (921) · Advanced · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Machine Learning Methods, Data Science, Machine Learning, Anomaly Detection, Data Analysis, Model Training, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms
★ 4.5 (24) · Advanced · Specialization · 3 - 6 Months
Skills you'll gain: Data Modeling, Stakeholder Engagement, Dashboard, Business Intelligence, Tableau Software, Extract, Transform, Load, Data Warehousing, Data Store, Database Systems, Data Visualization, Data Pipelines, Interviewing Skills, Business Process, Business Analysis, Database Design, Data Mart, Applicant Tracking Systems, Data Analysis, SQL, Stakeholder Communications
★ 4.8 (9.7K) · Advanced · Professional Certificate · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Natural Language Processing, Embeddings, Model Evaluation, Recurrent Neural Networks (RNNs), Computer Vision, Reinforcement Learning, Convolutional Neural Networks, Large Language Modeling, Model Optimization, Model Training, Data Preprocessing, Cloud Deployment, Applied Machine Learning, Feature Engineering, Machine Learning, Machine Learning Algorithms
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Bayesian Statistics, Statistical Modeling, Markov Model, Machine Learning, Probability & Statistics, Statistical Inference, Model Training, Model Optimization, Sampling (Statistics), Algorithms
★ 4.6 (1.6K) · Advanced · Specialization · 3 - 6 Months
Top-rated Data Science courses offered by Google on Coursera.
Earn a certificate in Data Science from top universities and companies.
Data science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It plays a crucial role in decision-making across various industries, helping organizations to understand trends, predict outcomes, and optimize processes. In today's data-driven world, the ability to analyze and interpret data is essential for businesses to remain competitive and innovative.‎
A career in data science can lead to various roles, including data analyst, data engineer, machine learning engineer, and data scientist. These positions are in high demand across sectors such as finance, healthcare, technology, and marketing. Each role focuses on different aspects of data, from data collection and cleaning to advanced analytics and predictive modeling, offering diverse opportunities for professionals.‎
To pursue a career in data science, you should develop a strong foundation in several key skills. These include programming languages like Python and R, statistical analysis, data visualization, and machine learning. Familiarity with databases and tools such as SQL and Tableau is also beneficial. Additionally, soft skills like problem-solving, critical thinking, and effective communication are essential for translating data insights into actionable strategies.‎
There are numerous online courses available for learning data science. Some of the best options include the IBM Data Science Professional Certificate, which covers essential skills and tools, and the Applied Data Science Specialization, which focuses on practical applications. These courses provide a structured learning path and hands-on experience to help you build your data science expertise.‎
Yes. You can start learning data science on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn data science effectively, start by identifying your learning goals and the specific skills you want to acquire. Begin with foundational courses that cover basic concepts and gradually progress to more advanced topics. Engage in hands-on projects to apply your knowledge, and consider joining online communities or study groups to enhance your learning experience. Consistent practice and real-world application are key to mastering data science.‎
Data science courses typically cover a range of topics, including data manipulation, statistical analysis, machine learning, data visualization, and big data technologies. You may also encounter specialized subjects such as natural language processing, data ethics, and data engineering. This comprehensive curriculum prepares you to tackle various challenges in the field and equips you with the skills needed to analyze complex datasets.‎
For training and upskilling employees in data science, programs like the CertNexus Certified Data Science Practitioner Professional Certificate and the Fractal Data Science Professional Certificate are excellent choices. These courses are designed to enhance practical skills and provide a solid foundation in data science, making them suitable for workforce development.‎